Data analysis and decision making are two core components in many industries. In this course, we will walk through major techniques in both components, including descriptive and exploratory data analysis, predictive analytics, causal inference, optimization, and simulation. The students are expected to conformably answer the following questions upon the completion of the course: how to visualize and present data to your clients or managers, how to predict patterns in the future from the historical data, how to measure the effectiveness of a policy, how to make best decisions under uncertainty based on the available information.